year int64 2k 2.02k | month stringclasses 12
values | domestic_debt stringlengths 10 12 | external_debt stringlengths 10 12 | total stringlengths 10 12 | esa_source stringclasses 1
value | esa_processed stringdate 2026-04-27 00:00:00 2026-04-27 00:00:00 |
|---|---|---|---|---|---|---|
2,007 | January | 378,127.61 | 417,467.73 | 795,595.34 | HDX | 2026-04-27 |
2,012 | May | 889,056.81 | 721,040.00 | 1,610,096.81 | HDX | 2026-04-27 |
2,013 | December | 1,189,182.59 | 922,369.15 | 2,111,551.74 | HDX | 2026-04-27 |
2,002 | July | 242,102.05 | 376,712.94 | 618,814.99 | HDX | 2026-04-27 |
2,016 | December | 1,930,855.01 | 1,896,443.05 | 3,827,298.06 | HDX | 2026-04-27 |
2,020 | August | 3,402,500.73 | 3,666,321.29 | 7,068,822.02 | HDX | 2026-04-27 |
2,017 | May | 2,045,471.63 | 2,187,224.33 | 4,232,695.96 | HDX | 2026-04-27 |
2,009 | August | 547,182.36 | 530,075.39 | 1,077,257.75 | HDX | 2026-04-27 |
2,005 | August | 325,380.53 | 434,850.69 | 760,231.23 | HDX | 2026-04-27 |
2,002 | December | 259,828.23 | 369,729.83 | 629,558.06 | HDX | 2026-04-27 |
2,015 | February | 1,353,302.65 | 1,296,748.46 | 2,650,051.11 | HDX | 2026-04-27 |
2,006 | August | 367,963.31 | 431,095.63 | 799,058.94 | HDX | 2026-04-27 |
2,018 | October | 2,535,751.89 | 2,654,689.44 | 5,190,441.33 | HDX | 2026-04-27 |
2,010 | February | 607,512.61 | 525,369.18 | 1,132,881.79 | HDX | 2026-04-27 |
2,013 | April | 1,065,609.39 | 816,796.56 | 1,882,405.95 | HDX | 2026-04-27 |
2,002 | September | 250,808.60 | 375,034.19 | 625,842.79 | HDX | 2026-04-27 |
2,015 | July | 1,418,568.23 | 1,473,143.70 | 2,891,711.93 | HDX | 2026-04-27 |
2,012 | February | 877,292.72 | 663,050.00 | 1,540,342.72 | HDX | 2026-04-27 |
2,006 | November | 381,034.85 | 424,933.07 | 805,967.92 | HDX | 2026-04-27 |
2,010 | August | 698,047.35 | 566,166.88 | 1,264,214.23 | HDX | 2026-04-27 |
2,008 | January | 432,183.90 | 424,205.02 | 856,388.92 | HDX | 2026-04-27 |
2,014 | April | 1,216,759.23 | 950,981.15 | 2,167,740.39 | HDX | 2026-04-27 |
2,011 | July | 781,713.03 | 744,486.60 | 1,526,199.63 | HDX | 2026-04-27 |
2,009 | April | 497,450.16 | 511,981.59 | 1,009,431.75 | HDX | 2026-04-27 |
2,014 | December | 1,307,748.71 | 1,170,696.28 | 2,478,444.99 | HDX | 2026-04-27 |
2,002 | January | 222,711.00 | 382,302.84 | 605,013.84 | HDX | 2026-04-27 |
2,012 | January | 809,278.11 | 686,718.48 | 1,495,996.59 | HDX | 2026-04-27 |
2,010 | January | 580,721.47 | 525,552.75 | 1,106,274.22 | HDX | 2026-04-27 |
2,016 | March | 1,646,527.48 | 1,665,578.04 | 3,312,105.52 | HDX | 2026-04-27 |
2,021 | October | 3,959,523.30 | 4,083,124.54 | 8,042,647.84 | HDX | 2026-04-27 |
2,011 | August | 776,852.60 | 768,510.85 | 1,545,363.45 | HDX | 2026-04-27 |
2,000 | June | 206,127.00 | 395,694.00 | 601,821.00 | HDX | 2026-04-27 |
2,005 | June | 315,572.50 | 433,975.65 | 749,548.15 | HDX | 2026-04-27 |
2,010 | December | 720,207.97 | 599,930.46 | 1,320,138.43 | HDX | 2026-04-27 |
2,011 | May | 746,574.73 | 675,887.12 | 1,422,461.85 | HDX | 2026-04-27 |
2,000 | December | 192,665.30 | 405,355.31 | 598,020.61 | HDX | 2026-04-27 |
2,013 | November | 1,170,053.22 | 912,234.31 | 2,082,287.54 | HDX | 2026-04-27 |
2,019 | July | 2,843,666.89 | 3,160,057.46 | 6,003,724.35 | HDX | 2026-04-27 |
2,005 | July | 324,027.42 | 435,399.90 | 759,427.32 | HDX | 2026-04-27 |
2,007 | March | 386,287.74 | 409,055.74 | 795,343.48 | HDX | 2026-04-27 |
2,002 | April | 233,149.00 | 378,475.98 | 611,624.98 | HDX | 2026-04-27 |
2,013 | July | 1,078,604.00 | 875,230.00 | 1,953,834.00 | HDX | 2026-04-27 |
2,021 | July | 3,792,146.89 | 4,020,629.30 | 7,812,776.19 | HDX | 2026-04-27 |
2,017 | April | 1,979,865.65 | 2,167,254.83 | 4,147,120.48 | HDX | 2026-04-27 |
2,010 | May | 650,261.96 | 541,976.71 | 1,192,238.67 | HDX | 2026-04-27 |
2,007 | April | 390,491.89 | 420,265.23 | 810,757.12 | HDX | 2026-04-27 |
2,011 | June | 764,222.80 | 722,888.31 | 1,487,111.11 | HDX | 2026-04-27 |
2,016 | July | 1,808,641.64 | 1,797,696.38 | 3,606,338.02 | HDX | 2026-04-27 |
2,007 | February | 385,824.93 | 416,510.41 | 802,335.34 | HDX | 2026-04-27 |
2,014 | November | 1,303,363.31 | 1,088,951.54 | 2,392,314.85 | HDX | 2026-04-27 |
2,003 | February | 264,193.21 | 367,469.40 | 631,662.61 | HDX | 2026-04-27 |
2,008 | October | 454,685.97 | 434,487.59 | 889,173.56 | HDX | 2026-04-27 |
2,019 | May | 2,772,613.71 | 2,834,844.04 | 5,607,457.75 | HDX | 2026-04-27 |
2,020 | December | 3,488,541.18 | 3,793,285.24 | 7,281,826.42 | HDX | 2026-04-27 |
2,019 | January | 2,604,189.40 | 2,729,478.57 | 5,333,667.97 | HDX | 2026-04-27 |
2,019 | August | 2,875,502.65 | 3,133,543.34 | 6,009,045.99 | HDX | 2026-04-27 |
2,018 | June | 2,478,835.09 | 2,560,199.43 | 5,039,034.52 | HDX | 2026-04-27 |
2,009 | January | 454,266.44 | 512,475.65 | 966,742.10 | HDX | 2026-04-27 |
2,012 | December | 971,265.44 | 821,972.82 | 1,793,238.26 | HDX | 2026-04-27 |
2,011 | December | 799,880.06 | 685,607.92 | 1,485,487.98 | HDX | 2026-04-27 |
2,020 | February | 3,040,964.55 | 3,117,038.57 | 6,158,003.12 | HDX | 2026-04-27 |
2,009 | December | 588,970.31 | 588,970.31 | 1,177,940.63 | HDX | 2026-04-27 |
2,014 | March | 1,231,183.10 | 940,402.99 | 2,171,586.09 | HDX | 2026-04-27 |
2,006 | December | 385,121.22 | 407,742.55 | 792,863.77 | HDX | 2026-04-27 |
2,000 | September | 195,520.00 | 399,798.72 | 595,318.72 | HDX | 2026-04-27 |
2,017 | September | 2,172,835.15 | 2,310,198.99 | 4,483,034.13 | HDX | 2026-04-27 |
2,012 | August | 901,934.27 | 771,760.00 | 1,673,694.27 | HDX | 2026-04-27 |
2,006 | September | 371,591.47 | 422,647.93 | 794,239.41 | HDX | 2026-04-27 |
2,014 | January | 1,200,901.86 | 920,500.71 | 2,121,402.56 | HDX | 2026-04-27 |
2,003 | June | 289,376.97 | 407,053.00 | 696,429.97 | HDX | 2026-04-27 |
2,004 | May | 299,347.29 | 408,547.54 | 707,894.83 | HDX | 2026-04-27 |
2,015 | August | 1,403,100.20 | 1,530,678.61 | 2,933,778.82 | HDX | 2026-04-27 |
2,008 | March | 444,736.37 | 425,086.89 | 869,823.26 | HDX | 2026-04-27 |
2,018 | July | 2,513,046.50 | 2,601,071.15 | 5,114,117.65 | HDX | 2026-04-27 |
2,005 | April | 307,160.62 | 424,345.69 | 731,506.31 | HDX | 2026-04-27 |
2,008 | June | 430,611.73 | 439,967.00 | 870,578.73 | HDX | 2026-04-27 |
2,019 | October | 2,897,141.36 | 3,127,601.26 | 6,024,742.62 | HDX | 2026-04-27 |
2,000 | August | 196,584.00 | 395,710.06 | 592,294.06 | HDX | 2026-04-27 |
2,009 | September | 550,613.80 | 524,982.60 | 1,075,596.40 | HDX | 2026-04-27 |
2,021 | December | 4,032,368.18 | 4,174,371.53 | 8,206,739.71 | HDX | 2026-04-27 |
2,004 | April | 301,177.37 | 409,950.33 | 711,127.70 | HDX | 2026-04-27 |
2,013 | August | 1,116,676.22 | 887,560.00 | 2,004,236.22 | HDX | 2026-04-27 |
2,006 | February | 338,613.23 | 407,132.44 | 745,745.67 | HDX | 2026-04-27 |
2,006 | June | 357,838.95 | 431,236.83 | 789,075.78 | HDX | 2026-04-27 |
2,013 | October | 1,174,782.27 | 887,991.23 | 2,062,773.50 | HDX | 2026-04-27 |
2,018 | December | 2,548,768.78 | 2,723,734.27 | 5,272,503.04 | HDX | 2026-04-27 |
2,016 | November | 1,918,656.99 | 1,834,914.33 | 3,753,571.32 | HDX | 2026-04-27 |
2,007 | July | 410,229.01 | 410,512.75 | 820,741.77 | HDX | 2026-04-27 |
2,001 | August | 214,767.00 | 392,335.83 | 607,102.83 | HDX | 2026-04-27 |
2,021 | January | 3,532,561.52 | 3,819,699.66 | 7,352,261.18 | HDX | 2026-04-27 |
2,000 | March | 201,463.22 | 396,800.00 | 598,263.22 | HDX | 2026-04-27 |
2,000 | October | 195,564.00 | 400,203.03 | 595,767.03 | HDX | 2026-04-27 |
2,019 | September | 2,851,639.21 | 3,111,767.28 | 5,963,406.49 | HDX | 2026-04-27 |
2,008 | April | 437,870.94 | 425,992.78 | 863,863.72 | HDX | 2026-04-27 |
2,021 | August | 3,864,875.78 | 4,054,862.85 | 7,919,738.63 | HDX | 2026-04-27 |
2,011 | October | 794,565.56 | 810,011.60 | 1,604,577.16 | HDX | 2026-04-27 |
2,019 | April | 2,740,905.64 | 2,842,481.02 | 5,583,386.66 | HDX | 2026-04-27 |
2,009 | February | 478,896.43 | 514,635.34 | 993,531.77 | HDX | 2026-04-27 |
2,003 | November | 303,548.41 | 406,592.25 | 710,140.65 | HDX | 2026-04-27 |
2,010 | June | 660,267.68 | 565,452.00 | 1,225,719.68 | HDX | 2026-04-27 |
Kenya Public Debt
Publisher: Central Bank of Kenya · Source: OpenAfrica · License: cc-by · Updated: 2023-06-07
Abstract
Data showing both domestic and external debt for each month over 22 years; 1999 to 2021
Each row in this dataset represents time-series observations. Data was last updated on OpenAfrica on 2023-06-07. Geographic scope: Africa (multiple countries).
Curated into ML-ready Parquet format by Electric Sheep Africa.
Dataset Characteristics
| Domain | Humanitarian and development data |
| Unit of observation | Time-series observations |
| Rows (total) | 262 |
| Columns | 7 (1 numeric, 6 categorical, 0 datetime) |
| Train split | 209 rows |
| Test split | 52 rows |
| Geographic scope | Africa (multiple countries) |
| Publisher | Central Bank of Kenya |
| OpenAfrica last updated | 2023-06-07 |
Variables
Geographic — year (range 1999.0–2021.0), external_debt (4,174,371.53, 425,992.78, 425,976.18).
Temporal — month (December, September, November).
Outcome / Measurement — total (8,206,739.71, 863,863.72, 860,597.57).
Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-27).
Other — domestic_debt (4,032,368.18, 437,870.94, 434,621.39).
Quick Start
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-kenya-public-debt")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
Schema
| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
year |
int64 | 0.0% | 1999.0 – 2021.0 (mean 2010.5725) |
month |
object | 0.0% | December, September, November |
domestic_debt |
object | 0.0% | 4,032,368.18, 437,870.94, 434,621.39 |
external_debt |
object | 0.0% | 4,174,371.53, 425,992.78, 425,976.18 |
total |
object | 0.0% | 8,206,739.71, 863,863.72, 860,597.57 |
esa_source |
object | 0.0% | HDX |
esa_processed |
object | 0.0% | 2026-04-27 |
Numeric Summary
| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
year |
1999.0 | 2021.0 | 2010.5725 | 2011.0 |
Curation
Raw data was downloaded from OpenAfrica via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.
Limitations
- Data originates from Central Bank of Kenya and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.
Citation
@dataset{openafrica_africa_kenya_public_debt,
title = {Kenya Public Debt},
author = {Central Bank of Kenya},
year = {2023},
url = {https://open.africa/dataset/kenya-public-debt},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.
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